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Boosting and Ensemble Methods in Machine Learning - Lecture 18

UofU Data Science via YouTube

Overview

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Learn about the concept of boosting in machine learning through a 35-minute lecture that explores how to transform weak learning algorithms into strong learners by combining multiple rules of thumb into a more powerful ensemble model.

Syllabus

Machine Learning: Lecture 18b: Boosting

Taught by

UofU Data Science

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